Lunar Rover Optimization Platform for Wheel Traction Studies

Stephen Gerdts, J. Breckenridge, Kyle Johnson
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Abstract

Robotic mobility systems expand the reach of future scientific and exploration missions to celestial bodies. Understanding the traction performance of these systems is necessary knowledge that informs mission-level requirements, such as power budgets and navigation envelopes. This paper covers the design, development, and verification of the four wheeled Lunar Rover Optimization Platform (LROP). This mass optimized platform is targeted to emulate future medium class rovers weighing up to 90 kg. The LROP has the ability to conduct various wheel design experiments such as obstacle traversal, slope ascent, and drawbar pull over a wheel loading range of 4.5 to 22.7 kg. The platform also has the ability to shift its center of gravity (CG) laterally and longitudinally to explore the CG shift effects on mobility performance. This knowledge is valuable for future rover designers exploring different payload packaging solutions. In this paper results from obstacle traversal test with varying angle of attack (AOA) and longitudinal CG position are reported along with results from slope ascent testing which proved-out the LROPs capabilities.
月球车车轮牵引研究优化平台
机器人移动系统扩展了未来天体科学和探索任务的范围。了解这些系统的牵引性能是告知任务级需求(如功率预算和导航包线)的必要知识。介绍了四轮月球车优化平台(LROP)的设计、开发和验证。这个质量优化平台旨在模拟未来重达90公斤的中型漫游者。LROP有能力进行各种车轮设计实验,例如在4.5到22.7公斤的车轮载荷范围内穿越障碍物、爬坡和拉拔杆。该平台还具有横向和纵向转移重心的能力,以探索重心转移对移动性能的影响。这些知识对于未来探测车设计师探索不同的有效载荷包装解决方案是有价值的。本文报道了不同攻角和纵向CG位置下的越障试验结果以及爬坡试验结果,证明了LROPs的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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